Using finite state machine and a hybrid of EEG signal and EOG artifacts for an asynchronous wheelchair navigation
作者：
Highlights：
• Asynchronous wheelchair navigation system using EEG signals and EOG artifacts.
• Horizontal gazes are observed at C3, C4 and eyelid positions at O2.
• The system is modeled as a finite state machine with three states for each mode.
• Total of six different directions move in forward and backward.
• Actual navigation tasks are performed and registered an average accuracy of 97.5%.
摘要
•Asynchronous wheelchair navigation system using EEG signals and EOG artifacts.•Horizontal gazes are observed at C3, C4 and eyelid positions at O2.•The system is modeled as a finite state machine with three states for each mode.•Total of six different directions move in forward and backward.•Actual navigation tasks are performed and registered an average accuracy of 97.5%.
论文关键词：Finite state machine,EEG signals,EOG artifacts,Wheelchair navigation,Minimum distance classifier,Eye gaze
论文评审过程：Available online 7 November 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.10.052
